summary.mcee_fit

Prints coefficient tables for the Natural Direct Excursion Effect (alpha)
and Natural Indirect Excursion Effect (beta), with small-sample t inference.
Optionally reports linear combinations and Stage-1 nuisance summaries.

Provides methods to analyze micro-randomized trials (MRTs) with binary treatment options. Supports four types of analyses: (1) proximal causal excursion effects, including weighted and centered least squares (WCLS) for continuous proximal outcomes by Boruvka et al. (2018) <doi:10.1080/01621459.2017.1305274> and the estimator for marginal excursion effect (EMEE) for binary proximal outcomes by Qian et al. (2021) <doi:10.1093/biomet/asaa070>; (2) distal causal excursion effects (DCEE) for continuous distal outcomes using a two-stage estimator by Qian (2025) <doi:10.1093/biomtc/ujaf134>; (3) mediated causal excursion effects (MCEE) for continuous distal outcomes, estimating natural direct and indirect excursion effects in the presence of time-varying mediators by Qian (2025) <doi:10.48550/arXiv.2506.20027>; and (4) standardized proximal effect size estimation for continuous proximal outcomes, generalizing the approach in Luers et al. (2019) <doi:10.1007/s11121-017-0862-5> to allow adjustment for baseline and time-varying covariates for improved efficiency.

Tianchen Qian

MRTAnalysis

Assessing Proximal, Distal, and Mediated Causal Excursion
Effects for Micro-Randomized Trials

Shaolin Xiang

Zhaoxi Cheng

Xinyi Song

John Dziak

Audrey Boruvka

summary.mcee_fit function

<dl><dt>object</dt>
<dd>An object of class <code>"mcee_fit"</code>.</dd>
<dt>lincomb_alpha, lincomb_beta</dt>
<dd>Optional numeric vector or matrix specifying
linear combinations of <code>alpha</code> or <code>beta</code> coefficients.</dd>
<dt>lincomb_joint</dt>
<dd>Optional numeric vector or matrix specifying linear
combinations of the stacked parameter <code>c(alpha, beta)</code>.</dd>
<dt>conf_level</dt>
<dd>Confidence level for Wald intervals (default 0.95).</dd>
<dt>show_nuisance</dt>
<dd>Logical; if <code>TRUE</code>, prints a compact summary of Stage-1 nuisance fits.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Summarize an mcee fit — summary.mcee_fit

<dl>

<dt>object</dt>
<dd>An object of class <code>"mcee_fit"</code>.</dd>


<dt>lincomb_alpha, lincomb_beta</dt>
<dd>Optional numeric vector or matrix specifying
linear combinations of <code>alpha</code> or <code>beta</code> coefficients.</dd>


<dt>lincomb_joint</dt>
<dd>Optional numeric vector or matrix specifying linear
combinations of the stacked parameter <code>c(alpha, beta)</code>.</dd>


<dt>conf_level</dt>
<dd>Confidence level for Wald intervals (default 0.95).</dd>


<dt>show_nuisance</dt>
<dd>Logical; if <code>TRUE</code>, prints a compact summary of Stage-1 nuisance fits.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

summary.mcee_fit: Summarize an mcee fit

Description

Usage

Value

Arguments

Examples